Chunxi Xia
Papers
2
Total Citations
35
H-Index
2
About
Chunxi Xia is a rising researcher in the field of robotics perception and autonomous systems, with a primary focus on sensor fusion, multi-object tracking, and state estimation. Xia’s major contributions lie in developing robust algorithms that bridge the gap between static and dynamic environments for LiDAR-inertial systems. Their 2022 work on "Accurate and Automatic Extrinsic Calibration for a Monocular Camera and Heterogenous 3D LiDARs" (31 citations) addresses a critical bottleneck in multi-sensor integration, enabling seamless spatial alignment for applications like navigation and path planning. More recently, Xia introduced "LIO-LOT: Tightly-Coupled Multi-Object Tracking and LiDAR-Inertial Odometry" (2024), a pioneering framework that challenges the static-environment assumption of traditional LiDAR-Inertial odometry by incorporating dynamic object tracking to enhance both localization and situational awareness. This work is particularly notable for its potential impact on autonomous driving and robotics, where understanding moving objects is essential. With a growing citation footprint and a focus on practical, real-world deployment, Xia is establishing themselves as a key contributor to next-generation perception systems that are both accurate and adaptive.
Research Focus
Key Achievements
Top Papers
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- 2